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To become eligible for the SAP C-SAC-2202 Exam, the candidate needs to have a fundamental understanding of SAP Analytics Cloud. The candidate must have a minimum of six months of experience working with SAP Analytics Cloud, and must have completed the SAP Analytics Cloud Learning Journey. The candidate also needs to have a solid understanding of data modeling, analytics, and collaboration in SAP Analytics Cloud.
SAP C_SAC_2202 certification exam is an excellent way for professionals to demonstrate their expertise in using SAP Analytics Cloud. By becoming certified, individuals can showcase their skills to potential employers and clients, and they can also gain valuable knowledge and experience in the field of analytics and data visualization.
SAP C_SAC_2202 exam is a part of the SAP Analytics Cloud certification program. SAP Certified Application Associate - SAP Analytics Cloud certification program is aimed at professionals who want to prove their expertise in using SAP Analytics Cloud. SAP Certified Application Associate - SAP Analytics Cloud certification exam covers various aspects of SAP Analytics Cloud, such as data modeling, data integration, analytics, and planning. It tests the candidate's knowledge and skills in these areas and ensures that they are capable of implementing and using SAP Analytics Cloud effectively.
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SAP C-SAC-2202 certification exam is designed to test the candidate's knowledge of SAP Analytics Cloud's features and functions. Candidates will be tested on their ability to create and manage data models, build and design analytical applications, and create and distribute reports and visualizations. C_SAC_2202 exam covers a wide range of topics, including data connections, data preparation, data modeling, data visualization, and data analysis.
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SAP C_SAC_2202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Intelligence & Story Design | 20% | - Digital Boardroom and mobile features - Create and format stories/dashboards - Filters, calculations, and exploration |
| Topic 2: Overview and Core Functionality | 8% | - Unified analytics: BI, Planning, Predictive - SAP Analytics Cloud architecture and positioning |
| Topic 3: Predictive Analytics & Machine Learning | 12% | - Smart features and predictive forecasting - Integration of ML algorithms |
| Topic 4: Planning Functionality | 15% | - Allocations, data actions, and workflows - Planning models and versions |
| Topic 5: Administration, Security & Integration | 15% | - User roles, permissions, and folders - System administration and security - SAP and non-SAP system integration |
| Topic 6: Data Preparation and Modeling | 18% | - Dimensions, measures, and hierarchies - Data modeling and transformation - Data acquisition and connections |
| Topic 7: Analytics Designer & Office Integration | 12% | - SAP Analysis for Microsoft Office - Build analytic applications |
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